Control Theory of Digitally Networked Dynamic Systems
. Ed(s): Lunze, Jan
Sold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since 9 October 2009
New - Soft cover
Condition: New
Quantity: 15 available
Add to basketSold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since 9 October 2009
Condition: New
Quantity: 15 available
Add to basketThis book gives an introduction to networked control systems and describes new modeling paradigms, analysis methods for event-driven, digitally networked systems, and design methods for distributed estimation and control. Editor(s): Lunze, Jan. Num Pages: 411 pages, biography. BIC Classification: GPFC; TJFM. Category: (G) General (US: Trade). Dimension: 235 x 155 x 22. Weight in Grams: 629. . 2015. Softcover reprint of the original 1st ed. 2014. Paperback. . . . . Books ship from the US and Ireland.
Seller Inventory # V9783319033600
The book gives an introduction to networked control systems and describes new modeling paradigms, analysis methods for event-driven, digitally networked systems, and design methods for distributed estimation and control. Networked model predictive control is developed as a means to tolerate time delays and packet loss brought about by the communication network. In event-based control the traditional periodic sampling is replaced by state-dependent triggering schemes. Novel methods for multi-agent systems ensure complete or clustered synchrony of agents with identical or with individual dynamics.
The book includes numerous references to the most recent literature. Many methods are illustrated by numerical examples or experimental results.
The book gives an introduction to networked control systems and describes new modeling paradigms, analysis methods for event-driven, digitally networked systems, and design methods for distributed estimation and control. Networked model predictive control is developed as a means to tolerate time delays and packet loss brought about by the communication network. In event-based control the traditional periodic sampling is replaced by state-dependent triggering schemes. Novel methods for multi-agent systems ensure complete or clustered synchrony of agents with identical or with individual dynamics.
The book includes numerous references to the most recent literature. Many methods are illustrated by numerical examples or experimental results.
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